Decoding Talent Shortage: Spatial Optimization for Specialized, Refined, Distinctive and Innovative Enterprises
Abstract
This study endeavors to examine the influence of locational conditions on talent employment decisions and to delineate effective nurturing strategies that bolster the sustainable development and core competitiveness of Zhejiang’s Specialized, Refined, Distinctive, and Innovative (SRDI) enterprises. The findings underscore that locational attributes play a pivotal role in shaping talent employment decisions. Specifically, a conducive policy environment, robust infrastructure, and a high degree of regional openness significantly enhance the talent acquisition prospects for SRDI enterprises in Zhejiang Province. A well-crafted policy framework furnishes essential external conditions and incentive mechanisms for enterprise growth, fostering an ecosystem that is conducive to talent absorption and retention. Enhanced infrastructure development not only optimizes the physical operational space for enterprises but also minimizes employees’ commute times and boosts work efficiency, thereby attracting a more talented workforce. Concurrently, regional openness introduces advanced technologies and managerial expertise, creating more development opportunities and career advancement pathways, which in turn enhance the enterprise’s talent appeal. The impact of locational factors varies across industries for SRDI enterprises, indicating that companies should customize their strategies based on the specific needs and conditions of their respective industries. By leveraging locational advantages more effectively, enterprises can attract top-tier talent, thereby fostering business growth and fortifying their market position. Local governments should prioritize the innovation of institutional mechanisms and the provision of a more competitive policy environment.
Fields of Study & Subjects
Human Resource and Talent Management
Entrepreneurship Studies and Influences
Labor market dynamics and wage inequality
Publication details
- Journal / source
- SAGE Open
- Publisher
- SAGE Publications
- Volume
- 16
- Issue
- 1
- Publication date
- 1 January 2026
- Language
- EN